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AI Engineer with practical experience in Machine Learning, NLP, and Cloud technologies.
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Eager AI graduate with a keen interest in sustainable technology and innovation to address environmental challenges. Excited to contribute to a forward-thinking company committed to making a positive impact through technology.
Koneru Lakshmaiah University (KL)
B.Tech · Electronics and Communication Engineering
July 1, 2020 – April 1, 2024
Shivani Junior College
Intermediate · MPC
July 1, 2018 – March 1, 2020
Montessori High School
SSC · 10th
N/A – May 1, 2018
IEEE
Student Volunteer (B.Tech)
April 1, 2024 – Present
India
NLP Based ChatBot using Deep Learning
April 1, 2024 – June 1, 2026
Designed and deployed a retrieval-based NLP chatbot using TensorFlow and Flask, automating user interactions for instant query resolution. Conceptualised and constructed JSON data pipelines utilizing TensorFlow and Flask, enabling precise intent classification for user queries. Automated user interactions through structured pipelines, increasing the chatbot's query resolution rate to 90%. Automated response workflows, reducing manual handling by 80% through streamlined pipeline deployment. Launched the chatbot using Flask API, providing real-time access to 50+ test users for seamless testing and feedback collection.
View ProjectProject Samarth – Agricultural Intelligence System
April 1, 2024 – June 1, 2026
Engineered a scalable ETL pipeline to extract, normalize, and process open-government agricultural and climate datasets, including district-level crop production and daily rainfall data across 31 Indian states. Created an intelligent Q&A system integrating processed datasets across 31 Indian states for real-time crop and climate analytics. Architected a three-layer architecture (data retrieval, normalization, and LLM-based RAG query engine) for real-time analytics. Developed and deployed an interactive Streamlit-based analytics dashboard with natural language querying using LLM-powered RAG architecture. Ensured data transparency and scalability, achieving fast and accurate responses with source traceability.
View ProjectMicrosoft Azure AI Fundamentals
Microsoft
June 1, 2026 – Present
Architecting with Google Compute Engine
Google Cloud
June 1, 2026 – Present
AWS Academy Cloud Foundations
AWS Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects showcase a keen interest in applying AI to solve real-world problems (e.g., agricultural intelligence, NLP chatbots), which aligns with an innovative and impact-driven culture. The certifications across multiple cloud providers and participation in AI challenges demonstrate a continuous learning mindset. The volunteer experience at IEEE also suggests an ability to collaborate and contribute to a community. The academic nature of projects, however, means there's less evidence of navigating complex organizational dynamics or long-term project ownership in a professional environment.
Soft Skills & Operational Fit
The candidate demonstrates initiative through participation in challenges and volunteer work, suggesting a proactive attitude and ability to work in teams. The project descriptions indicate an ability to conceptualize, design, and deploy solutions, which are valuable operational skills. However, the experience is primarily academic, and real-world operational experience in a corporate setting is limited.